Spatial dynamics of fetal mortality and the relationship with social vulnerability

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Myllena O. Silva ◽  
Vilma C. Macedo ◽  
Indianara M.B. Canuto ◽  
Mayara C. Silva ◽  
Heitor V.V. da Costa ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Mortality Rate ◽  
Social Vulnerability ◽  
Pearson Correlation ◽  
Spatial Dynamics ◽  
The State ◽  
Fetal Mortality ◽  
Priority Areas ◽  
Local Moran ◽  
Global And Local

Abstract Objectives To analyze the spatial-temporal patterns of fetal mortality according to its relationship with social vulnerability, identifying priority areas for intervention. Methods Ecological study conducted in the state of Pernambuco, Northeast region of Brazil, from 2011 to 2018. The mean fetal mortality rate per city was calculated for the studied period. A cluster analysis was performed to select cities with homogeneous characteristics regarding fetal mortality and social vulnerability, then the Attribute Weighting Algorithm and Pearson correlation techniques were employed. In the spatial analysis it was used the local empirical Bayesian modeling and global and local Moran statistics. Results Twelve thousand nine hundred and twelve thousand fetal deaths were registered. The fetal mortality rate for the period was 11.44 fetal deaths per 1,000 births. The number of groups formed was 7, in which correlation was identified between fetal mortality and dimensions, highlighting the correlations between fetal mortality rate and the Index of Social Vulnerability urban infrastructure for the municipalities in group 1 and 5, the values of the correlations found were 0.478 and 0.674 respectively. The spatial analysis identified areas of higher risk for fetal mortality distributed in regions of medium, high and very high social vulnerability. Conclusions The study allowed observing the existing correlations between fetal mortality and social vulnerability and identifying priority areas for intervention, with a view to reducing fetal mortality in the state.

scholarly journals Spatial analysis of new cases of leprosy in the State of Espírito Santo, Brazil, between 2004 and 2009

2012 ◽  
Vol 45 (3) ◽  
pp. 380-384 ◽  
Author(s):  
Poliane Barbosa Sampaio ◽  
Tiago Lessa Rossi ◽  
Crispim Cerutti Junior ◽  
Eliana Zandonade
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Control Strategies ◽  
Cost Benefit ◽  
The State ◽  
Public Health Issue ◽  
Espírito Santo ◽  
Espirito Santo ◽  
Global And Local ◽  
Very High

INTRODUCTION: Leprosy in Brazil is a public health issue, and there are many regions in the State of Espírito Santo with high endemic incidence levels of leprosy, characterizing this state as a priority for leprosy programs. The aim of this study was to determine the spatial distribution of coefficients of new cases of leprosy in the State of Espírito Santo, Brazil. METHODS: We conducted a descriptive and ecologic study based on the spatial distribution of leprosy in the State of Espírito Santo between 2004 and 2009. Data were gathered from the available records of the Espírito Santo State Health Secretary. The global and local Bayesian empirical methods were used to produce an estimate of leprosy risk, smoothing the fluctuation effects of the detection coefficients. RESULTS: The study resulted in a coefficient adjustment of new cases in 10 towns that changed their classification, among which, 2 went from low to medium, 4 from medium to high, 3 from high to very high, and 1 from very high to hyper-endemic. An average variation of 1.02, fluctuating between 0 and 12.39 cases/100,000 inhabitants, was found in a comparative calculation between the Local Ebest value and the average coefficient of new leprosy cases in the State of Espírito Santo. CONCLUSIONS: The spatial analysis of leprosy favors the establishment of control strategies with a better cost-benefit relationship since it reveals specific and priority regions, thereby enabling the development of actions that can interfere in the transmission chain.

scholarly journals Trend and spatial analysis of prostate cancer mortality in the state of Sergipe, Brazil

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
José Augusto Passos Góes ◽  
Danilo de Gois Souza ◽  
Lucas Almeida Andrade ◽  
Jéssica Cunha ◽  
Simone Kameo ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Spatial Analysis ◽  
High Risk ◽  
Cancer Mortality ◽  
Mortality Rates ◽  
The State ◽  
Mortality Data ◽  
Density Estimator ◽  
Priority Areas ◽  
Prostate Cancer Mortality

This is an ecological study with exploratory analysis of spatial and temporal data based on mortality data with respect to prostate cancer obtained from the Mortality Information System concerning residents of the state of Sergipe, Brazil between 2000 and 2015. The analysis of temporal trends was performed using the Joinpoint Regression Program through Poisson regression. Spatial analysis was performed using the empirical Bayesian model, Kernel analysis, Global Moran and Local indices. There were 1,986 deaths due to prostate cancer, most of which occurring after 60 years of age. An increasing, non-constant but significant trend in mortality rates was noted. The kernel density estimator showed hotspot densities of the highest rates of prostate cancer mortality in the north-eastern and central regions of the state. High-risk clusters were identified for prostate cancer mortality (I = 0.55, P<0.01). There was an increase in prostate cancer mortality rates and a heterogeneous geographic distribution of risk areas, with high-risk priority areas identified in certain regions of the state. These priority areas include the municipalities located in the Northeast (Amparo do São Francisco, Aquidabã, Canhoba, Cedro de São João and Telha), the West (Frei Paulo and Pedra Mole) and the south-western region of the state (Poço Verde and Simão Dias).

scholarly journals Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil

2007 ◽  
Vol 23 (5) ◽  
pp. 1099-1112 ◽  
Author(s):  
Marina Atanaka-Santos ◽  
Reinaldo Souza-Santos ◽  
Dina Czeresnia
Keyword(s):  
Spatial Analysis ◽  
Malaria Control ◽  
Malaria Incidence ◽  
The State ◽  
Population Variation ◽  
Mato Grosso ◽  
Priority Area ◽  
Priority Areas ◽  
Lower Priority ◽  
The North

The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.

Spatiotemporal clustering, social inequities and the risk of leptospirosis in an endemic area of Brazil: a retrospective spatial modelling

2020 ◽  
Author(s):  
Katyucia O C de Souza ◽  
José Augusto P Góes ◽  
Matheus S Melo ◽  
Paula M G Leite ◽  
Lucas A Andrade ◽  
...  
Keyword(s):  
Urban Areas ◽  
Spatial Regression ◽  
Temporal Trends ◽  
Spatial Dynamics ◽  
Secondary Data ◽  
The State ◽  
Scan Statistics ◽  
Northeastern Brazil ◽  
Metropolitan Region ◽  
Social Inequities

Abstract Background Leptospirosis is an endemic disease in Brazil of social and economic relevance related to behavioural and socioenvironmental factors. This study aimed to analyse the spatiotemporal distribution of the incidence of leptospirosis and its association with social determinants in health in a state of northeastern Brazil. Methods An ecological study of temporal series with techniques of spatial analysis using secondary data of the cases of leptospirosis notified in the Information System of Notifiable Diseases of the state of Sergipe (2008–2017) was conducted. The analysis of temporal trends was performed using Poisson regression. Spatial analyses were performed using the Moran index, the local empirical Bayesian model, scan statistics and spatial regression. Results The incidence rate decreased from 3.66 to 1.44 cases per 100 000 inhabitants in 2008 and 2017, respectively. Leptospirosis was associated with social inequities, mostly affecting males aged 20–49 y living in urban areas. The space-time scan indicated the formation of a risk cluster in municipalities in the metropolitan region of the state. Conclusions The data indicated the persistence of leptospirosis transmission, maintaining a pattern of high endemicity in some municipalities associated with social inequities. The study showed the temporal and spatial dynamics of the disease to better target specific actions for prevention and control.

scholarly journals Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johan Baijot ◽  
Stijn Denissen ◽  
Lars Costers ◽  
Jeroen Gielen ◽  
Melissa Cambron ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Signal To Noise Ratio ◽  
Pearson Correlation ◽  
Signal Quality ◽  
Network Parameters ◽  
Fmri Signal ◽  
Noise Ratio ◽  
Global And Local ◽  
The Brain ◽  
Local Brain

AbstractGraph-theoretical analysis is a novel tool to understand the organisation of the brain.We assessed whether altered graph theoretical parameters, as observed in multiple sclerosis (MS), reflect pathology-induced restructuring of the brain's functioning or result from a reduced signal quality in functional MRI (fMRI). In a cohort of 49 people with MS and a matched group of 25 healthy subjects (HS), we performed a cognitive evaluation and acquired fMRI. From the fMRI measurement, Pearson correlation-based networks were calculated and graph theoretical parameters reflecting global and local brain organisation were obtained. Additionally, we assessed metrics of scanning quality (signal to noise ratio (SNR)) and fMRI signal quality (temporal SNR and contrast to noise ratio (CNR)). In accordance with the literature, we found that the network parameters were altered in MS compared to HS. However, no significant link was found with cognition. Scanning quality (SNR) did not differ between both cohorts. In contrast, measures of fMRI signal quality were significantly different and explained the observed differences in GTA parameters. Our results suggest that differences in network parameters between MS and HS in fMRI do not reflect a functional reorganisation of the brain, but rather occur due to reduced fMRI signal quality.

scholarly journals The Rotavirus Vaccine Landscape, an Update

Pathogens ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 520
Author(s):  
Roberto Cárcamo-Calvo ◽  
Carlos Muñoz ◽  
Javier Buesa ◽  
Jesús Rodríguez-Díaz ◽  
Roberto Gozalbo-Rovira
Keyword(s):  
Developing Countries ◽  
Mortality Rate ◽  
Low Income ◽  
State Of The Art ◽  
The State ◽  
Cold Chain ◽  
Low Income Countries ◽  
Rotavirus Vaccine ◽  
Oral Vaccines

Rotavirus is the leading cause of severe acute childhood gastroenteritis, responsible for more than 128,500 deaths per year, mainly in low-income countries. Although the mortality rate has dropped significantly since the introduction of the first vaccines around 2006, an estimated 83,158 deaths are still preventable. The two main vaccines currently deployed, Rotarix and RotaTeq, both live oral vaccines, have been shown to be less effective in developing countries. In addition, they have been associated with a slight risk of intussusception, and the need for cold chain maintenance limits the accessibility of these vaccines to certain areas, leaving 65% of children worldwide unvaccinated and therefore unprotected. Against this backdrop, here we review the main vaccines under development and the state of the art on potential alternatives.

Profit as a key motive and the resulting indicator of the activity of state corporations

2021 ◽  
pp. 42-49
Author(s):  
M.V. Dubrova
Keyword(s):  
Economic Activity ◽  
The State ◽  
Financial Resources ◽  
Project Financing ◽  
State Development ◽  
Non Profit ◽  
Priority Areas ◽  
The World ◽  
Development Institutions ◽  
State Corporation

Development institutions are becoming the most important tools for regulating economic activity both in Russia and in the world, through the implementation of social projects, the accumulation of financial resources and their direction to the priority areas of state development. The purpose of the study is to study the financial results of state corporations, in particular development institutions, and their role in providing project financing. The proposed article provides an assessment of the profit of the state corporation «Bank for Development and Foreign Economic Activity» (GC «Vnesheconombank»), emphasizes the specifics of the state corporation as a non-profit organization, and provides recommendations for improving the efficiency of the financial activities of the GC «Bank for Development and Foreign Economic Activity».

Into the Vicious Cycle of Precarity: Labour Market, Precarious Work, Social Vulnerability and Youth: The case of Greece within the EU context

2021 ◽  
Vol 7 (12) ◽  
pp. 474-496
Author(s):  
Nikos Papadakis ◽  
Maria Drakaki ◽  
Sofia Saridaki ◽  
Vassilis Dafermos
Keyword(s):  
European Union ◽  
Young People ◽  
Labour Market ◽  
Social Vulnerability ◽  
The State ◽  
The European Union ◽  
Development Education ◽  
Ongoing Research ◽  
Precarious Work ◽  
The Impact

Ιn the last decade, there has been a widespread expansion of both precarious work and precarious forms of employment (such as temporary and low-qualified jobs, seasonal and part-time jobs etc.), in which a growing share of young people work. The impact of precarious work on young people is likely to be permanent, while it seems to affect (even over-determine) their life courses. Non-smooth and early transitions into labour market are very likely to worsen progressively their long-term life chances (Lodovici & Semenza, 2012: 7). Undoubtedly, the long-lasting global economic Crisis and the subsequent Recession, has heavily affected the state of play in the labour market worldwide, provoking severe modifications both in the field of employment and countries’ social cohesion. Based on the above mentioned, the paper deals with precarious work in general, while it emphasizes precarious work among youth. It initially captures, briefly, the state of play in terms of the impact of the Crisis on the widening of the phenomenon of precarious work and then it focuses on theoretical insights and critical conceptual definitions concerning precariousness in the labour market. Further, based on secondary quantitative -data analysis, it analyses the key- parameters and facets of precarious work (focusing on youth) in the European Union and, mainly, in Greece. Additionally, it briefly presents parameters of the impact of the COVID-19 pandemic on precariousness in Greece. Finally, the paper explores the correlation between precarious work and social vulnerability, especially among young people. The present paper is based on an ongoing Research Project. More specifically, this research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning 2014-2020» in the context of the project “Precarious Work and Youth in today’s Greece: secondary quantitative analysis, qualitative filed research and research-based policy proposals” (MIS 5048510).

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